Ollama | GRID THE GREY

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CRITICAL Bleeding Llama Flaw Exposes 300,000 Ollama Servers to Unauthenticated Data Theft // MEDIUM CrowdStrike Researcher Details AI Jailbreaking and Data Poisoning Techniques // HIGH Mass Scan Reveals Widespread Authentication Failures Across Exposed AI Infrastructure // HIGH Backdoored PyTorch Lightning Package Steals Cloud Credentials from AI Developers // HIGH Pentagon Deploys Classified AI Across Seven Tech Giants for Warfighter Systems // MEDIUM Cross-Machine AI Agent Relay Tool Expands Attack Surface for Developer Environments // HIGH Desktop Automation CLI Grants AI Agents Deep OS-Level Control // HIGH Frontier LLMs Now Autonomously Breach Corporate Networks in AISI Cyber Tests // HIGH Premature AI Agent Deployments Expose Production Systems to Destructive Actions // HIGH Anthropic Launches Claude Security to Close AI-Accelerated Exploit Window //

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Bleeding Llama Flaw Exposes 300,000 Ollama Servers to Unauthenticated Data Theft

ATLAS OWASP CRITICAL SecurityWeek May 06, 2026 ▲ 9.2

Bleeding Llama Flaw Exposes 300,000 Ollama Servers to Unauthenticated Data Theft

A critical heap out-of-bounds read vulnerability (CVE-2026-7482, CVSS 9.3) in Ollama's GGUF model loader allows unauthenticated remote attackers to exfiltrate sensitive heap memory — including API …

AML.T0040 - ML Model Inference API Access AML.T0057 - LLM Data Leakage AML.T0044 - Full ML Model Access